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Abstract
<span>Current electric power systems have an increasing penetration of electric vehicles, and its effect has to be considered in different <span>studies, such as optimal dispatch or voltage stability, among others. Additionally, considering that power system analysis becomes <span>complex when the number of buses increase, this paper presents a methodology for aggregation of load areas that use a measurement-based load modeling approach based on an evolutionary computational technique and a classical reduction method. This aggregate <span>load area model is proposed to reduce areas that consider electric vehicle (EV) load models. The proposed method provides a static <span>equivalent load model and an equivalent network that can be used to reduce the computational effort required by power system<br /><span>studies. In order to validate the application of the proposed methodology, a 30-bus power system considering several disturbances <span>and levels of penetration of the electric vehicles was used. The results show that the equivalent network model allows the reproduction <span>of different events with an acceptable accuracy when it is compared to the original system behavior.</span></span></span></span></span></span></span><br /><br class="Apple-interchange-newline" /></span>
Highlights
Nowadays, power system studies may become complex as new elements are increasingly connected to the network
Considering that power system analysis becomes complex when the number of buses increase, this paper presents a methodology for aggregation of load areas that use a measurementbased load modeling approach based on an evolutionary computational technique and a classical reduction method
The results show that the equivalent network model allows the reproduction of different events with an acceptable accuracy when it is compared to the original system behavior
Summary
Power system studies may become complex as new elements are increasingly connected to the network. One of these special elements are the electric vehicles (EV), which pose new challenges and have become an important area of research. These load elements presented a growing interest in the last years, as shown, due to their environmental and economic benefits, compared to conventional vehicles (Global EV Outlook 2015 Update, 2015) These load elements presented a growing interest in the last years, as shown in Figure 1, due to their environmental and economic benefits, compared to conventional vehicles (Global EV Outlook 2015 Update, 2015)
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